Eigenspace-Based Human Face Detection

摘要

An eigenspace based human face detection method is proposed in this paper. The distribution of human face patterns in image space is modeled by means of Mahalanobis-based clustering method. The Eigenspace decomposition approach for conditional probability density estimation includes both the distance measure between sample and eigenspace and the measure of sample projection and cluster centroid which is more robust then traditional probability density estimation method where only the latter distance is considered. Thus it can achieve better human face detection results.